A. B. Pritsker, James O. Henriksen, P. Fishwick, Gordon M. Clark
{"title":"Principles of modeling","authors":"A. B. Pritsker, James O. Henriksen, P. Fishwick, Gordon M. Clark","doi":"10.1109/WSC.1991.185743","DOIUrl":"https://doi.org/10.1109/WSC.1991.185743","url":null,"abstract":"Each author presents 'principles' related to modeling and gives brief discussions and/or justifications for each principle. A principle can be a guideline, an orientation, or a fundamental characteristic associated with modeling and models. The authors start with a clean slate and the assumption that there are no established, published principles of modeling.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129150948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Deadlock detection and recovery based distributed simulation: a performance study","authors":"D. Kumar, S. Harous","doi":"10.1109/WSC.1991.185665","DOIUrl":"https://doi.org/10.1109/WSC.1991.185665","url":null,"abstract":"The authors present the results of an experimental performance study of distributed simulation of closed queuing networks using a minor variation of the deadlock detection and recovery based algorithm of K.M. Chandy and J. Misra (1979,1981). A major part of this study is to determine the effect of overhead on distributed simulation. Moreover, in these experiments the values of certain refined notions of ideal speedup ratio are measured. These ratios are more refined than just the number of processors, in the sense that they capture the potentially achievable speedups of distributed simulation more closely.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132217175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SLAM II tutorial (simulation language)","authors":"J. O'Reilly","doi":"10.1109/WSC.1991.185602","DOIUrl":"https://doi.org/10.1109/WSC.1991.185602","url":null,"abstract":"SLAM II is a simulation language which allows a modeler to formulate a system description using process, event, or continuous world views, or any combination of the three. Since its initial release in 1981, SLAM II has undergone continual development and application. The author provides an introduction to the modeling language and describes the most recent developments in SLAM II. Particular attention is given to network modeling, continuous modeling and material handling movements (modeling cranes and an automatic guided vehicle system). The SLAM II Interactive Execution Environment is described.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122676137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simultaneous parallel simulations of continuous time Markov chains at multiple parameter settings","authors":"P. Heidelberger, D. Nicol","doi":"10.1109/WSC.1991.185664","DOIUrl":"https://doi.org/10.1109/WSC.1991.185664","url":null,"abstract":"The authors describe multi-PUCS (parallel uniformized continuous-time simulation), an approach based on uniformization for simultaneously running parallel simulation of CTMCs (continuous time Markov chains) at multiple parameter settings. In multi-PUCS, interprocessor communications messages are shared among the multiple simulations. The efficiency of multi-PUCS relative to another multiple parameter simulation approach, the consecutive strategy, was studied empirically through simulations of a large queuing network on a 16-node Intel iPSC/2. Generally speaking, if the parameter being varied is such that the external uniformization rates are unaffected, then multi-PUCS becomes (relatively) more efficient as the amount of interprocessor communications increases. However, the efficiency gains over the consecutive strategy were fairly modest when combining two parameter settings. Better performance can be achieved when more parameter settings are included. In addition, moderate positive correlation was induced using this approach.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132179768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Introduction to SLAMSYSTEM (simulation system)","authors":"W. R. Lilegdon","doi":"10.1109/WSC.1991.185603","DOIUrl":"https://doi.org/10.1109/WSC.1991.185603","url":null,"abstract":"SLAMSYSTEM is an integrated simulation system for advanced personal computers based on the Microsoft Windows interface (under MS DOS) or the OS/2 Presentation Manager. The author discusses SLAMSYSTEM's support for the range of tasks performed in a SLAM II simulation project. Particular consideration is given to building models with SLAMSYSTEM, output analysis and presentation, animating models, the OS/2 animator and the integration of SLAMSYSTEM with other software.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"103 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117291923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Methods for selecting the best system (for simulation)","authors":"D. Goldsman, B. Nelson, B. Schmeiser","doi":"10.1109/WSC.1991.185613","DOIUrl":"https://doi.org/10.1109/WSC.1991.185613","url":null,"abstract":"The authors consider three methods for selecting the best of a set of competing simulation systems: interactive analysis, ranking and selection, and multiple comparisons. They describe each method, discuss assumptions, implementation aspects, advantages, and disadvantages, and demonstrate the use of each method with an airline reservation system simulation example.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122143072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial intelligence and simulation","authors":"J. Rothenberg","doi":"10.1109/WSC.1991.185618","DOIUrl":"https://doi.org/10.1109/WSC.1991.185618","url":null,"abstract":"In this tutorial, the author presents some of the major concepts of artificial intelligence and illustrates their applicability to simulation using examples drawn from recent knowledge-based simulation research. He focuses on the present state-of-the-art, current problems and limitations, and future directions and possibilities.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114479657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Qualitative modeling and simulation: promise or illusion (basic definitions)","authors":"F. Cellier","doi":"10.1109/WSC.1991.185728","DOIUrl":"https://doi.org/10.1109/WSC.1991.185728","url":null,"abstract":"Some basic definitions that serve as a basis for the discussion of qualitative modeling and simulation are presented. The author begins by stating the types of mathematical models that exist i.e. continuous time models (lumped parameter, linear and distributed parameter models), discrete time models and discrete event models. The author distinguishes between quantitative and qualitative models. He defines qualitative variables as having either nominal measures, ordinal measures, interval measures or ratio measures. He then considers four main types of qualitative models: naive physics models, inductive reasoning models, symbolic discrete event models and neural net models. Finally he points to the need to investigate combined quantitative and qualitative models.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130432503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ProModel tutorial (manufacturing simulation)","authors":"C. Harrell, K. Tumay","doi":"10.1109/WSC.1991.185600","DOIUrl":"https://doi.org/10.1109/WSC.1991.185600","url":null,"abstract":"ProModel combines the flexibility of general-purpose simulation languages and the easy-to-use features of manufacturing simulators. The authors present ProModel's design philosophy, describe its modeling elements, and illustrate these elements with an example. It is concluded that ProModel is designed for manufacturing companies to fully achieve the benefits of simulation technology at an affordable price, and is directed toward making simulation a standard tool in the hands of engineers, managers, and systems analysts.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121864209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Feuchter, C.A. Van Meter, K.M. Neuman, K.J. Sparrow
{"title":"When is a satellite not a toaster? (satellite repair costs)","authors":"C. Feuchter, C.A. Van Meter, K.M. Neuman, K.J. Sparrow","doi":"10.1109/WSC.1991.185652","DOIUrl":"https://doi.org/10.1109/WSC.1991.185652","url":null,"abstract":"It is pointed out that automobiles are typically repaired, but inexpensive appliances are discarded at the first sign of trouble: they 'cost too much to fix.' Comparing $50 M satellites with toasters may seem odd, but the analogy can be appropriate. It is suggested that the too-much-to-fix argument can be used in deciding whether to replace or to repair satellites. The authors investigate when cost considerations dictate using constellations of expendable satellites to be routinely replaced and discarded on failure, and when circumstances indicate using constellations of satellites to be repaired on-orbit by exchanging failed modules.<<ETX>>","PeriodicalId":448258,"journal":{"name":"1991 Winter Simulation Conference Proceedings.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127694677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}